Senior AI Developer – Agentic Healthcare Application

🕒 April 1

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C the Signs

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧬 Biotechnology

Healthcare Insurance • Artificial Intelligence • Biotechnology

C the Signs is an innovative cancer prediction system designed to identify patients at risk of cancer at the earliest and most curable stages. Utilizing advanced technology, research, and evidence, C the Signs can rapidly determine which cancers a patient may be at risk for and recommend appropriate tests or specialists in under 30 seconds. The system supports healthcare providers in improving cancer survival rates by offering early detection and integrative care, from prevention and screening to diagnosis and survivorship. Committed to diversity and inclusion, it addresses inequalities in racial outcomes, benefits patients in rural communities, and helps reduce the financial burden of cancer diagnosis. C the Signs is dedicated to improving survival rates and helping people live longer and healthier lives by enhancing early cancer detection and care.

📋 Description

• Architecting and Implementing Agentic Workflows • Design Autonomous Loops: Build stateful control loops (Perception -> Reasoning -> Action) where agents can interpret clinical data, plan necessary checks, and generate risk assessments. • Conversational Agentic workflow: Chatbot style user experience powered by LLM • GCP Integration: Leverage Vertex AI for model serving and LLM models for reasoning, optimizing for long-context windows to process complex medical history. • RAG & Grounding: Implement "Enterprise Grounding" using Vertex AI Vector Search to ensure all agent outputs are strictly cited against official medical literature (e.g., medical research and guidelines). • Data & Tool Integration • Structured Data Access: Build robust Python tools (Function Calling) that allow agents to securely query BigQuery or other datastores for patient demographics and symptoms. • Security & Compliance: Ensure all AI operations comply with HIPAA/GDPR standards, implementing strict PII masking and data governance within the Google Cloud environment. • System Reliability: Deploy agents on Vertex AI, Cloud Run, or GKE, ensuring low-latency inference and high availability for clinical users. • Agent monitoring: implement effective product environment AI Agent execution monitoring and alert system to ensure SLA, safety and security compliance • Leadership & Strategy • Mentorship: Guide a team of engineers in MLOps best practices (CI/CD for models, evaluation pipelines). • Evaluation: Implement "LLM-as-a-Judge" frameworks to automatically test agent accuracy against "Golden Datasets" of clinical cases.

🎯 Requirements

• 5+ years of software development experience. • 2+ years of hands-on experience building and deploying enterprise-grade agentic applications (e.g., using LangGraph, LangChain). • Familiarity with scalable, enterprise-level distributed systems • Experience with advanced data structures, algorithms, and complexity analysis • Demonstrated history of product value delivery • Bachelor's degree in Computer Science, Computer Engineering, or a closely related quantitative field is required. • Master's degree in Artificial Intelligence, Machine Learning, or a relevant field is strongly preferred. • Must be a US Citizen, Green Card holder, or currently in the US having a valid H1B visa

🏖️ Benefits

• Competitive salary and benefits package. • Stock option/equity • Flexible working arrangements (remote or hybrid options available). • The opportunity to work on life-changing AI technology that directly impacts patient outcomes. • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity. • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.